End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day ...
"An aggregation that takes an hour to process on my local Python machine returned in 3 seconds with BigQuery"—this is the shock everyone experiences when they first touch a cloud DWH. For a data ...
This project analyzes customer churn in a banking dataset using SQL. The objective was to identify factors influencing customer attrition and generate business insights to support customer retention ...
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